code: def load_data(
      self,
      data: Dict[str, List[Any]],
      categorical_fields: Optional[Union[str, List[str]]] = None,
      numerical_fields: Optional[Union[str, List[str]]] = None,
      target_field: Optional[str] = None,
      parameters: Dict[str, Any] = None,
  ):
      data_frame = DataFrame.from_dict(data)
  
      return super().load_data(
          data_frame,
          categorical_fields,
          numerical_fields,
          target_field,
          parameters,
      )
  
file_path: lightning-flash/src/flash/tabular/regression/input.py
imports: from typing import Any, Dict, List, Optional, Union
  import numpy
  from flash.core.data.io.input import DataKeys
  from flash.core.data.utilities.loading import load_data_frame
  from flash.core.utilities.imports import _PANDAS_AVAILABLE
  from flash.tabular.input import TabularDataFrameInput
label_desc: Use image node_id 1 for calling the TabularRegressionDictInput obj's underlying member method code with example usage: obj.load_data(data, categorical_fields, numerical_fields, target_field, parameters) and returns: super